Free: $0, includes up to 5 members, 100 context nodes, and 100 MB of indexed content. Team: $25 per seat per month (or $200 per seat billed annually), includes up to 25 members, 1,000 context nodes, and 1 GB of indexed content. Enterprise: custom pricing, includes Forward Deployed Engineers, Hybrid
Key features
Memory system with self-managing advanced memory
Isolated per-tenant instances with version rollback
Portable context server with files, notes and links
Sub-document multi-modal hybrid search
Structured data extraction from PDFs, websites and images
Autonomous agents for knowledge base automation
99.9% uptime SLA
AES-256 encryption at rest and SSL in transit
TypeScript SDK and REST API
Model-agnostic and framework-agnostic
Model-agnostic: runs on Claude, GPT, Gemini, or open-weight models
Full observability: trace every tool call, retrieval, and reasoning step
Isolated execution: tool calls run in isolated environments by default
Code mode: reduces token usage to one-third of traditional approaches
Self-hosted on your infrastructure: cloud, on-prem, or air-gapped
MCP server integration: works with existing MCP servers unchanged
Open source under MIT license
Automatic model failover and switching
What makes it different
Cut token spend by up to 81% through persistent agent memory instead of full context window stuffing
State-of-the-art on two leading AI memory benchmarks
Full-stack data layer eliminating need for multiple services
Production-tested at scale powering Fabric platform
Self-improving memory that tracks relationships and resolves contradictions
Isolated by default with no direct system access
Reduces token usage to approximately one-third
Runs end-to-end air-gapped with no external network calls
Full transparency through open agent-observability spec (AVP)
No vendor lock-in: switch models without rewriting agents
Exabase
Port of Context